Health
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary Classification | binary health datasets avg (test) | AUC0.875 | 29 | |
| Recommendation | Health | Recall@2019.08 | 24 | |
| Partial Multi-Label Learning | health | Average Precision77.1 | 18 | |
| Partial Multi-Label Learning | health | One-Error25.3 | 18 | |
| Partial Multi-Label Learning | health | Hamming Loss0.035 | 18 | |
| Sequential Recommendation | Health | Recall@56.19 | 9 | |
| Partial Multi-Label Learning | health (9) | Coverage18.5 | 9 | |
| Partial Multi-Label Learning | health | Coverage16.6 | 9 | |
| Activity Recognition | Health (test) | Accuracy60 | 8 | |
| Multiple Choice Question Answering | Health | Accuracy61.11 | 8 | |
| Recommendation | Health | NDCG13.51 | 8 | |
| Interpolation | Health (mean) | R^20.73 | 7 | |
| Product recommendation | Health (test) | MJC0.153 | 6 | |
| Forecasting | Health | MSE1.339 | 3 | |
| Recommendation | Health | T_P (sec)563 | 3 | |
| Partial Multi-Label Learning | health | Ranking Loss0.064 | 2 | |
| Generative Recommendation | Hea. (Health) domain (test) | R@102.02 | 2 |
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